We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Functionality of artifacts as well as structure and behavior plays crucial roles in problem-solving such as design. This article discusses automatic identifications of functional s...
: Our work is concerned with the design of a knowledge-based system for recognizing agricultural landscape models on land-use maps. Landscape models are defined as sets of spatial ...
Abstract. Structural computing is a new paradigm for developing applications in new domains. One of its benefits is that adaptation of behavior--as a consequence of changes of the ...
This paper addresses the problem of recovering structure and motion from silhouettes. Silhouettes are projections of contour generators which are viewpoint dependent, and hence do...